摘要：通过分区(Regionalization)识别山洪(Flash Flood)均质区域(Homogeneous Region)对于有效减灾防灾至关重要。然而，现有大多数分区方法主要关注属性相似性(如气象及下垫面因子)，忽略了反映流域间拓扑网络及汇流关系的结 摘要：通过分区(Regionalization)识别山洪(Flash Flood)均质区域(Homogeneous Region)对于有效 ...

The industry has recognized dxFeed Grenadier — a real-time market anomaly detection engine powered by unsupervised machine learning — as the leading AI innovation in Asia's capital markets. NEW YORK, ...

ABSTRACT: Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective ...

Species distribution models (SDMs) often overlook critical spatial heterogeneity and multiscale environmental patterns, which limit their predictive accuracy for species occurrences. We demonstrate ...

Abstract: A fault detection method for power conversion circuits using thermal images and a convolutional autoencoder is presented. The autoencoder is trained on thermal images captured from a ...

Abstract: We introduce a new convolutional autoencoder architecture for user modeling and recommendation tasks with several improvements over the state of the art. First, our model has the flexibility ...

CAD-DR is a deep learning-based system for dimensionality reduction of 3D CAD models using a 3D convolutional autoencoder. The system supports full STL to voxel transformation, encoding, ...

With the basic structure and parameters of the model remaining unchanged, this section analyzes and compares two types of network structures with input image sizes of 128 × 128 and 256 × 256. The ...

This study aims to explore an autoencoder-based method for generating brain MRI images of patients with Autism Spectrum Disorder (ASD) and non-ASD individuals, and to discriminate ASD based on the ...